Number of positive and negative examples for each functional site.

Figshare2015-12-02 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/_Number_of_positive_and_negative_examples_for_each_functional_site_/962024 数据链接链接失效反馈

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资源简介：

Number of positive and negative examples for each functional site.

创建时间：

2015-12-02

Signor_3class_clustered-50

蛋白质相互作用

生物序列分类

该数据集包含结构化序列数据，主要特征包括IdA（字符串）、IdB（字符串）、SeqA（字符串）、SeqB（字符串）和labels（整型）。数据集划分为训练集（12,491个样本）、测试集（1,018个样本）和验证集（1,061个样本），总大小约20.7MB。数据文件按默认配置存储在train-*、test-*和valid-*路径下。未提供具体任务描述，但标签字段暗示可能用于分类或匹配任务。

Hugging Face2026-02-12 更新120

SILVA-to-NCBI mapping

生物序列分类

标识符映射

Contains a mapping of Genbank accession numbers to NCBI taxon ids and names. The accessions are those that are the reference sequences for SILVA clusters.

DataONE2017-06-16 更新50

Correlation coefficients of several components of the MFS method in the Thornton dataset (cells in upper-right triangle of the table) and the Lovell dataset (lower-left triangle), respectively.

功能位点预测

生物学相关性分析

The components of the MFS method have a relatively low correlation with each other, demonstrating that they can provide complementary information toward accurate functional site prediction.

NIAID Data Ecosystem30

Categories and taxa for sequence aggregation.

生物序列分类

生物信息学

‘food’, ‘parasite’, ‘contaminant’, ‘unicellular eukaryotes’). The taxonomic levels to which groups of related sequences were aggregated within these categories are given as well as their common names.

Figshare2015-12-02 更新60

The first subset of eight features.

非编码RNA结构识别

生物序列分类

Long non-coding RNAs (lncRNAs) have been widely studied for their important biological significance. In general, we need to distinguish them from protein coding RNAs (pcRNAs) with similar functions. B

Figshare2023-06-01 更新30

Number of positive and negative examples for each functional site.

资源简介：

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